# vlachoudis/bCNC

GRBL CNC command sender, autoleveler and g-code editor

Repository: https://github.com/vlachoudis/bCNC
Canonical: https://ross.abutalabs.com/products/bcnc
Language: Python
License: GPL-2.0
License Family: copyleft
Last push: 2026-04-15T08:00:34+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 77, release rhythm 8, longevity 100
- inputs: {"age_days": 4338, "days_push": 140, "days_rel": 524, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1746, forks 589 (observed 2026-08-28T04:05:30.752133+00:00)

## What it is
bCNC is a cross-platform Python desktop application for sending G-code commands to GRBL/GrblHAL CNC controllers. It combines a G-code editor, autoleveler, digitizer, and control GUI into a single tool for CNC machining.

## Use cases
- send g-code to a grbl CNC machine
- autolevel a CNC bed before milling
- edit g-code files before sending to a machine
- control a CNC router from a Raspberry Pi
- probe and digitize a workpiece surface
- stream g-code over serial to grbl controller

## When to choose
- you run a GRBL or GrblHAL based CNC machine
- you need autoleveling for uneven stock surfaces
- you want a free cross-platform G-code sender that runs on low-power hardware like Raspberry Pi

## When to avoid
- your machine uses a non-GRBL controller like Mach3, LinuxCNC, or Marlin
- you need a production CAM suite rather than a sender/editor
- you primarily work on macOS and need guaranteed stability, since Mac support is currently reported as broken

## Facets
- artifact type: application
- maturity: active
- function: gui, parser, developer-tools
- domain: hardware, desktop-applications, cross-platform
- platform: windows, python, cross-platform
- tags: cnc, grbl, gcode, autoleveler, 3d-printing-adjacent, serial-communication, tkinter, automation, linux, macos, desktop

## Member repositories
- vlachoudis/bCNC (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.752133+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:12.728783+00:00, confidence not recorded.
  - readme: https://github.com/vlachoudis/bCNC (fetched 2026-08-28T04:05:30.752133+00:00, sha 3f0d4533c5b2)
  - registry_pypi: https://pypi.org/pypi/bcnc/json (fetched 2026-08-29T11:07:04.441947+00:00, sha 1c8a59c4bab5)
- Data as of 2026-08-30T08:39:29.467469+00:00.